diff --git a/python/python/lancedb/remote/table.py b/python/python/lancedb/remote/table.py
index da9fbfde..22497359 100644
--- a/python/python/lancedb/remote/table.py
+++ b/python/python/lancedb/remote/table.py
@@ -22,8 +22,9 @@ from lance import json_to_schema
 
 from lancedb.common import DATA, VEC, VECTOR_COLUMN_NAME
 from lancedb.merge import LanceMergeInsertBuilder
+from lancedb.embeddings import EmbeddingFunctionRegistry
 
-from ..query import LanceVectorQueryBuilder
+from ..query import LanceVectorQueryBuilder, LanceQueryBuilder
 from ..table import Query, Table, _sanitize_data
 from ..util import inf_vector_column_query, value_to_sql
 from .arrow import to_ipc_binary
@@ -58,6 +59,21 @@ class RemoteTable(Table):
         resp = self._conn._client.post(f"/v1/table/{self._name}/describe/")
         return resp["version"]
 
+    @cached_property
+    def embedding_functions(self) -> dict:
+        """
+        Get the embedding functions for the table
+
+        Returns
+        -------
+        funcs: dict
+            A mapping of the vector column to the embedding function
+            or empty dict if not configured.
+        """
+        return EmbeddingFunctionRegistry.get_instance().parse_functions(
+            self.schema.metadata
+        )
+
     def to_arrow(self) -> pa.Table:
         """to_arrow() is not yet supported on LanceDB cloud."""
         raise NotImplementedError("to_arrow() is not yet supported on LanceDB cloud.")
@@ -213,7 +229,7 @@ class RemoteTable(Table):
         data, _ = _sanitize_data(
             data,
             self.schema,
-            metadata=None,
+            metadata=self.schema.metadata,
             on_bad_vectors=on_bad_vectors,
             fill_value=fill_value,
         )
@@ -293,6 +309,7 @@ class RemoteTable(Table):
         """
         if vector_column_name is None:
             vector_column_name = inf_vector_column_query(self.schema)
+        query = LanceQueryBuilder._query_to_vector(self, query, vector_column_name)
         return LanceVectorQueryBuilder(self, query, vector_column_name)
 
     def _execute_query(